To the best of our knowledge there is no WSOD algorithm for few-shot setting in
the literature. However, WSOD with knowledge transfer
methods [1]}, [2]}, [3]}, [4]}
are closely related to our work. We
describe a slightly modified version of [2]}, called MI-SVM in our experiments, in sec:mi-svm
and discuss its differences to the proposed method. The MI-SVM baseline is not applicable to COL problem
as it always requires negative examples for training. To compare MI-SVM against
other COL methods, we provide MI-SVM with an extra set of
\(K\)  negative images that do not have the target class when sampling the support
set.
